How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search. - Lianbo Ma; Nan Li 033; Guo Yu 001; Xiaoyu Geng; Min Huang 001; Xingwei Wang 001 (CoRR, 2021)

Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System. - Lianbo Ma; Nan Li 033; Yinan Guo 001; Xingwei Wang 001; Shengxiang Yang; Min Huang 001; Hao Zhang 017 (IEEE Trans. Cybern., 2022)

Automatic design of machine learning via evolutionary computation: A survey. - Nan Li 033; Lianbo Ma; TieJun Xing; Guo Yu 001; Chen Wang; Yingyou Wen; Shi Cheng 002; Shangce Gao (Appl. Soft Comput., 2023)

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. - Nan Li 033; Lianbo Ma; Guo Yu 001; Bing Xue 001; Mengjie Zhang 001; Yaochu Jin (ACM Comput. Surv., 2024)

A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties. - Lianbo Ma; Nan Li 033; Peican Zhu; Keke Tang; Asad Khan; Feng Wang 048; Guo Yu 001 (IEEE Trans. Fuzzy Syst., 2024)

Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search. - Lianbo Ma; Nan Li 033; Guo Yu 001; Xiaoyu Geng; Shi Cheng 002; Xingwei Wang 001; Min Huang 001; Yaochu Jin (IEEE Trans. Evol. Comput., 2024)

Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS. - Nan Li 033; Bing Xue 001; Lianbo Ma; Mengjie Zhang 001 (IJCAI, 2025)

Listwise ranking predictor for evolutionary neural architecture search. - Nan Li 033; Lianbo Ma; Rui Wang 017; Shi Cheng 002; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2025)